Update README.md

README.md

@@ -85,7 +85,7 @@ when batch_size is large (16, 32, 64, 128), throughput_amp > throughput_tf32.
 - Observation 2: The coefficient of variation of throughput for the 100 iterations is smallest when batch_size = 128.  
 
 Benchmarking with dim = 2, nodes = 1,2, gpus = 8, batch_size = 128 can be used for node health check.  
-For example, the expected throughput for dim = 2, nodes = 1, gpus = 4, batch_size = 128 would be 2500 ± 200 (TF32) and 4100 ± 400 (AMP).
+For example, the expected throughput for dim = 2, nodes = 1, gpus = 8, batch_size = 128 would be ? ± ? (TF32) and ? ± ? (AMP).
 
 <img src="https://github.com/xuagu37/Benchmark_nnU-Net_for_PyTorch/blob/main/figures/benchmark_cv_example.png" width="400">